US6651226B2ExpiredUtilityA1

Process control using three dimensional reconstruction metrology

Assignee: AGERE SYSTEMS INCPriority: Mar 12, 2001Filed: Sep 28, 2001Granted: Nov 18, 2003
Est. expiryMar 12, 2021(expired)· nominal 20-yr term from priority
G03F 7/70625G03F 7/70491
87
PatentIndex Score
29
Cited by
6
References
20
Claims

Abstract

In-line process control for 120 nm and 100 nm lithography using the installed scanning electron microscope (SEM) equipment base. A virtual three-dimensional representation of a photoresist feature is developed by applying a transform function to SEM intensity data representing the feature. The transform function correlates highly accurate height vector data, such as provided by a stylus nanoprofilometer or scatterometer, with the highly precise intensity data from the SEM. A multiple parameter characterization of at least one critical dimension of the virtual feature is compared to an acceptance pattern template, with the results being used to control a downstream etch process or an upstream lithography process. A multiple parameter characteristic of a three dimensional representation of the resulting post-etch final feature may be compared to device performance data to further refine the acceptance pattern template.

Claims

exact text as granted — not AI-modified
We claim as our invention:  
     
       1. A method of controlling a process, the method comprising: 
       developing intensity information I(x,y) corresponding to a feature on a surface;  
       developing data corresponding to a three dimensional representation of the feature from the intensity information;  
       developing a multiple parameter characterization of at least one critical dimension of the three dimensional representation; and  
       modifying a process in response to the multiple parameter characterization.  
     
     
       2. The method of  claim 1 , further comprising controlling a downstream process applied to the surface in response to the multiple parameter characterization. 
     
     
       3. The method of  claim 1 , further comprising controlling a process used to develop a second feature on a second surface in response to the multiple parameter characterization. 
     
     
       4. The method of  claim 1 , further comprising: 
       developing a function P(x) representative of a localized area of the surface as a function of I(x,y);  
       applying a transform function F(x) to the function P(x) to develop the data corresponding to the three dimensional representation of the feature.  
     
     
       5. The method of  claim 4 , further comprising developing the transform function F(x) as a correlation between the function P(x) and a height vector H(x) representing the surface topography of the localized area. 
     
     
       6. The method of  claim 5 , further comprising developing the transform function F(x) as a ratio of a multiple parameter characterization of the function P(x) and a multiple parameter characterization of the height vector H(x). 
     
     
       7. The method of  claim 4 , wherein the step of developing a function P(x) comprises calculating P(x) as a weighted average intensity over the localized area across a plurality of scan lines. 
     
     
       8. The method of  claim 7 , further comprising calculating P(x) according to the equation:          P        (   x   )       =         ∑     l   =   1     N                I        (     x   ,   l     )       *     [         ∑     m   =   1     N            (     1     1   +              I        (     x   ,   l     )       -     I        (     x   ,   m     )              A         )     3       N     ]     3           ∑     l   =   1     N            [         ∑     m   =   1     N            (     1     1   +              I        (     x   ,   l     )       -     I        (     x   ,   m     )              A         )     3       N     ]     3                         
       where P(x) is the reduced amplitude modulated waveform, I(x) is the intensity matrix, N is the number of lines used to calculate the localized waveform, and A is one-half of the total range of the data set. 
     
     
       9. The method of  claim 1 , wherein the feature is a photoresist feature on a first semiconductor substrate, and wherein the process controlled is a lithography process. 
     
     
       10. A method of controlling microelectronic device manufacturing comprising: 
       developing a photoresist feature on a semiconductor substrate;  
       using a scanning electron microscope to develop secondary electron signal intensity information I(x,y) corresponding to the photoresist feature;  
       developing data corresponding to a three dimensional representation of the photoresist feature from the secondary electron signal intensity information;  
       developing a multiple parameter characterization of at least one critical dimension of the three dimensional representation; and  
       controlling a process in response to the multiple parameter characterization.  
     
     
       11. The method of  claim 10 , further including controlling an etch process for the semiconductor wafer in response to the multiple parameter characterization. 
     
     
       12. A method of controlling a semiconductor device manufacturing process comprising: 
       developing intensity information I(x,y) corresponding to a feature on a surface;  
       developing data corresponding to a three dimensional representation of the feature from the intensity information;  
       developing a multiple parameter characterization of at least one critical dimension of the three dimensional representation; and  
       comparing the multiple parameter characterization to a predetermined criterion.  
     
     
       13. The method of  claim 12 , further comprising characterizing one of shape and scale information for the feature as a function of critical dimension verses height of the feature. 
     
     
       14. The method of  claim 13 , further comprising: 
       characterizing the one of shape and scale information as a graph; and  
       identifying the predetermined criteria as an area on the graph.  
     
     
       15. The method of  claim 12 , further comprising: 
       using a scanning electron microscope to develop secondary electron signal intensity information corresponding to a final feature resulting from an etching process;  
       developing data corresponding to a three dimensional representation of the final feature from the secondary electron signal intensity information corresponding to the final feature;  
       developing a multiple parameter characterization of at least one critical dimension of the three dimensional representation of the final feature; and  
       correlating the multiple parameter characterization of the final feature to device performance data.  
     
     
       16. The method of  claim 12 , further comprising using the step of comparing to develop a template for controlling an etching process. 
     
     
       17. The method of  claim 12 , further comprising using the multiple parameter characterization to control a photoresist development process for developing a photoresist feature on a subsequently processed semiconductor wafer. 
     
     
       18. An apparatus for controlling a process, the apparatus comprising: 
       a means for producing intensity data IN(x,y) corresponding to a feature on a surface;  
       a means for producing data corresponding to a three dimensional representation of the feature as a function of the intensity data I N (x,y);  
       a means for developing a multiple parameter characterization of at least one critical dimension of the three dimensional representation; and  
       a processing apparatus responsive to the multiple parameter characterization.  
     
     
       19. The apparatus of  claim 18 , wherein the processing apparatus is responsive to the multiple parameter characterization to produce a second feature on a second surface. 
     
     
       20. The apparatus of  claim 18 , wherein the processing apparatus is responsive to the multiple parameter characterization to further process the feature on the surface.

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